Triple
T4192683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xerox Alto |
E89071
|
entity |
| Predicate | primaryStorageType |
P9901
|
FINISHED |
| Object | dynamic RAM |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: dynamic RAM | Statement: [Xerox Alto, primaryStorageType, dynamic RAM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStorageType Context triple: [Xerox Alto, primaryStorageType, dynamic RAM]
-
A.
primaryMemoryType
chosen
Indicates the main or dominant type of memory associated with or used by an entity in a given context.
-
B.
storageTechnology
Indicates the type or method of data storage technology used or associated with an entity.
-
C.
storageOption
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
D.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
E.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:46 p.m.